GitHub Issues MCP Server
Related Servers
Alternatives to GitHub Issues MCP Server
No user-submitted related servers found.
Related Servers
- FlicenseNot gradedqualityBmaintenanceEnables AI agents to interact with GitHub repositories and issues through MCP tools, supporting listing repositories, listing and searching issues, and retrieving specific issues via the GitHub REST API.-
- FlicenseNot gradedqualityBmaintenanceEnables AI assistants to interact with GitHub issues, pull requests, and Actions workflows through MCP tools.-
- FlicenseNot gradedqualityCmaintenanceEnables AI agents to interact with GitHub via MCP, managing repositories, issues, PRs, and analyzing repository health through tools like list_repositories, read_issues, create_issue, comment_on_pr, and analyze_repo_health.-
- AlicenseNot gradedqualityBmaintenanceEnables MCP-compatible AI clients to manage GitHub repositories and issues and trigger repository dispatch events via tools and a REST API.MIT
- AlicenseNot gradedqualityCmaintenanceEnables AI clients such as Cursor to interact with GitHub repositories and perform issue listing, triage, health checks, prioritization, commenting, weekly digests, and release-note generation through purpose-built MCP tools.1 npmMIT
- FlicenseNot gradedqualityCmaintenanceEnables natural language interaction with GitHub through an MCP server. Supports reading repos, issues, and PRs, as well as creating and editing issues with user confirmation.-
TDQS
Scored across 4 tools
Each tool has a clearly distinct purpose: listing, creating, commenting, and searching. There is no meaningful overlap between list_issues (broad browsing) and search_issues (query-based filtering), and the descriptions make this distinction explicit.
All four tool names follow a consistent verb_noun snake_case pattern: list_issues, create_issue, add_comment, search_issues. The naming is predictable and immediately communicates the action and target.
With only 4 tools, the server is quite focused but still covers core issue interaction. The count is on the low end but not unreasonably thin for a single-purpose GitHub issues server, so it earns a borderline score.
The server covers listing, creating, commenting, and searching issues, which handles the most common workflows. However, it lacks obvious lifecycle operations like updating, closing, or fetching a single issue, leaving notable gaps that agents cannot work around without external tools.